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Description
I found the shape size can also cause bug, when my input is with the size image: (3006, 4013, 3).
I get error like:
RuntimeError: nonzero is not supported for tensors with more than INT_MAX elements, file a support request:
the full list:
warnings.warn(
Traceback (most recent call last):
File "/home/wmw/project/codespace/segment-anything-2-main/test.py", line 44, in
masks = mask_generator.generate(image)
File "/home/wmw/miniconda3/envs/gspl/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/wmw/project/codespace/segment-anything-2-main/sam2/automatic_mask_generator.py", line 178, in generate
mask_data = self._generate_masks(image)
File "/home/wmw/project/codespace/segment-anything-2-main/sam2/automatic_mask_generator.py", line 215, in _generate_masks
crop_data = self._process_crop(image, crop_box, layer_idx, orig_size)
File "/home/wmw/project/codespace/segment-anything-2-main/sam2/automatic_mask_generator.py", line 253, in _process_crop
batch_data = self._process_batch(
File "/home/wmw/project/codespace/segment-anything-2-main/sam2/automatic_mask_generator.py", line 361, in _process_batch
data["rles"] = mask_to_rle_pytorch(data["masks"])
File "/home/wmw/project/codespace/segment-anything-2-main/sam2/utils/amg.py", line 120, in mask_to_rle_pytorch
change_indices = diff.nonzero()
RuntimeError: nonzero is not supported for tensors with more than INT_MAX elements, file a support request